text: from azureml.core import Run
  
  input_file_ds_path = Run.get_context().input_datasets["file_dataset"]
  with open(input_file_ds_path, "r") as f:
      content = f.read()
      print(content)
  
  input_tabular_ds = Run.get_context().input_datasets["tabular_dataset"]
  tabular_df = input_tabular_ds.to_pandas_dataframe()
  print(tabular_df)
  